| Paper: | MLSP-P1.1 | ||
| Session: | Blind Source Separation and ICA | ||
| Time: | Tuesday, May 18, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Machine Learning for Signal Processing: Blind Signal Separation and Independent Component Analysis | ||
| Title: | INDEPENDENT COMPONENT ANALYSIS BY COMPLEX NONLINEARITIES | ||
| Authors: | Tülay Adali; University of Maryland, Baltimore County | ||
| Vince Calhoun; Institute of Living / Yale University | |||
| Taehwan Kim; The MITRE Corporation | |||
| Abstract: | A number of complex nonlinear functions are proposed for the independent component analysis (ICA) of complex-valued data. We discuss the properties of these nonlinearities and show their efficiency in generating the higher order statistics needed for ICA. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops